As well established as the practice of intelligence analysis may be, researchers continue to ask elementary questions about what analysis is, how it is done, and how it can be done better.
“Intelligence analysis involves a complex process of assessing the reliability of information from a wide variety of sources and combining seemingly unrelated events. This problem is challenging because it involves aspects of data mining, data correlation and human judgment,” one recent study (pdf) performed for the Office of Naval Research observed.
The study focused on development of computer tools to support the analytical method known as Analysis of Competing Hypotheses (ACH), previously explored by Folker (pdf), among others.
See “Assisting People to Become Independent Learners in the Analysis of Intelligence” by Peter L. Pirolli, Palo Alto Research Center, Inc., Final Report to the Office of Naval Research, February 2006.
The decision casts uncertainty on the role of scientific and technical expertise in federal decision-making, potentially harming our nation’s ability to respond effectively
Congress should foster a more responsive and evidence-based ecosystem for GenAI-powered educational tools, ensuring that they are equitable, effective, and safe for all students.
Without independent research, we do not know if the AI systems that are being deployed today are safe or if they pose widespread risks that have yet to be discovered, including risks to U.S. national security.
Companies that store children’s voice recordings and use them for profit-driven applications without parental consent pose serious privacy threats to children and families.